Collaborative routing method for operation vehicle in inland port based on game theory
FAN Jiajia1,2, LIU Hongxing1,2, LI Yonghua1,2, YANG Lijin1,2
1. School of Computer Science and Technology, Wuhan University of Technology, Wuhan Hubei 430063, China; 2. Hubei Key Laboratory of Transportation Internet of Things(Wuhan University of Technology), Wuhan Hubei 430070, China
Abstract：Focusing on the traffic congestion problem in inland ports with vehicle transportation and large throughput, a collaborative routing method for operation vehicles in inland port based on game theory was proposed. Firstly, the interaction between the operation vehicles that simultaneously request route planning was modeled as a game with incomplete information and the idea of Satisfaction Equilibrium (SE) was applied to analyze the proposed game. It was assumed that every vehicle has an expected utility for routing result, when all vehicles were satisfied, the game achieved an equilibrium. Then, a collaborative routing algorithm was proposed. In this algorithm, firstly every vehicle selected the route according to greedy strategy, then all vehicles were divided into groups by the rule and vehicles in the group performed adaptive learning based on historical routing results to complete the game. The experimental results show that the collaborative routing algorithm reduces the average driving time of vehicles up to 50.8% and 16.3% respectively and improves the system profit up to 51.7% and 24.5% respectively compared with Dijkstra algorithm and Self-Adaptive Learning Algorithm (SALA) when the number of simultaneously working vehicles in port is 286. The proposed algorithm can effectively reduce the average driving time of vehicles, improve system profit, and is more suitable for the routing problem of vehicles in inland port.
范家佳, 刘洪星, 李勇华, 杨丽金. 基于博弈论的内河港口作业车辆协同选路方法[J]. 计算机应用, 2020, 40(1): 50-55.
FAN Jiajia, LIU Hongxing, LI Yonghua, YANG Lijin. Collaborative routing method for operation vehicle in inland port based on game theory. Journal of Computer Applications, 2020, 40(1): 50-55.
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2020, Vol. 40 
